Stock Markets February 10, 2026

Nebius to Buy AI-Agent Search Specialist Tavily for $275 Million, Bloomberg Says

Deal brings Tavily team into Nebius as cloud provider seeks to broaden AI-focused search capabilities and customer revenue

By Avery Klein MSFT
Nebius to Buy AI-Agent Search Specialist Tavily for $275 Million, Bloomberg Says
MSFT

Nebius Group NV has agreed to acquire Tavily, a firm that builds search tools tailored for AI agents, in a $275 million transaction reported by Bloomberg. The move brings Tavily's founder and CEO Rotem Weiss and his team into the Netherlands-based cloud operator and aligns with Nebius's push to expand services for AI customers that operate autonomous agents.

Key Points

  • Nebius agreed to acquire Tavily for $275 million, according to Bloomberg.
  • Tavily founder and CEO Rotem Weiss and his team will join Nebius as part of the deal.
  • Nebius supplies computing capacity for AI customers across data centers in the US, Europe and Israel and serves clients including Microsoft.

Nebius Group NV has reached an agreement to acquire Tavily for $275 million, according to reporting by Bloomberg. The transaction, which was disclosed through those reports, led to a 1.7% rise in Nebius shares during Tuesday trading after the news became public.

As described in the reporting, Tavily's founder and Chief Executive Officer Rotem Weiss will join Nebius along with his team. The move will integrate Tavily's software capabilities into Nebius's product set, consistent with Nebius's stated strategy to broaden its services and grow revenue from existing and prospective customers.

Nebius operates as a supplier of computing capacity aimed at AI workloads, with data center footprints in the United States, Europe and Israel. The company counts Microsoft Corp. among its customers.

Roman Chernin, a co-founder and the Chief Business Officer at Nebius, told Bloomberg that search for autonomous AI agents differs from conventional web search and therefore requires specialized software. He explained that these agents - used across categories such as trading, coding, customer service and travel - interact with search systems in a different pattern than human web users. Rather than seeking a list of links and moving on, AI agents often request information iteratively as prompts are refined, creating a distinct demand profile for retrieval systems.

Chernin also noted that the large language models that underpin many AI services frequently do not have access to the most recent information or to company-specific data, heightening the need for dedicated search solutions that can supply timely and targeted content to autonomous agents.

Tavily, whose name echoes the Hebrew phrase meaning "bring me," raised $25 million in funding last year from a group of investors that included Insight Partners. Tavily lists International Business Machines Corp. and Cohere Inc. among its customers.


Context and implications

The acquisition aligns with Nebius's focus on serving AI workloads by adding software that addresses an identified gap in how autonomous agents retrieve and refine information. Bringing Tavily's engineering and leadership into Nebius is presented as a way to accelerate the cloud provider's service expansion and revenue objectives.

Risks

  • Integration uncertainty: The successful migration of Tavily's team and technology into Nebius is not guaranteed and could affect timelines and results for product integration. This impacts cloud and enterprise software sectors.
  • Product fit and adoption: Autonomous-agent search needs differ from traditional web search, and there is risk that the combined offering may not win expected customer adoption at scale, affecting AI infrastructure and cloud services revenue.
  • Dependence on LLM limitations: The rationale for the acquisition rests in part on limitations of large language models' recency and company-specific access; if those dynamics change, demand for specialized search solutions could be affected, with implications for AI tooling and enterprise tech spending.

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